The purpose of the NIR reflection is whether the near infrared (NIR) spectroscopic method can be used to identify a variety of different materials for the purpose of the quality of the reflection of infrared control.Near is now widely used for rapid analysis of many agricultural products and foodstuffs from the protein, moisture, oil, starch, sucrose, fiber, grain and texture of lysine. Research has shown that the technique can be used to predict the quality of barley, wheat and cooking properties of the measurement of the degree of starch damage in flour.The technique of near infrared reflectance using very small differences absorption of NIR radiation at wavelengths corresponding to tones and the combination of fundamental IR frequencies of chemical functional groups characteristic of the analytes in particular. Complex mathematical regression is used to control measures result.Near absorption spectroscopy analysis of near infrared reflectance (NIRS) it is a fast and accurate alternative to wet chemistry procedures to determine the concentration of the main classes of compounds chemicals in organic production materials, like leaves from plants. The process makes use of the reflection coefficient signals due to bending and stretching vibrations in the molecular bonds of carbon, nitrogen, hydrogen and oxygen. Calibration is necessary for the mixing of the spectral sensitivity of each individual sample at wavelengths analyses.In known concentrations of chemical laboratory near infrared reflectance, nitrogen, lignin and cellulose concentrations for leaves of woody plants: leaves green leaves and decomposing litter can be measured in the laboratory according to procedures. The sample preparation of near infrared reflectance can be drying and grinding to a uniform particle size. The diffuse spectral reflectance data were obtained using monochromatic Microsystems 6500 module with a rotating head, scanning at wavelengths from 400 to 2498 nm with a bandwidth of 10 nm. The calibration equations were developed using partial least squares regression in the transformation of the first difference of the uptake data for the entire spectrum (cross et al., In press). Near infrared reflectance spectroscopy calibration equations for leaves of woody plants are used to predict nitrogen, lignin and cellulose concentrations in unknown samples. The accuracy of the equation for the prediction of unknown samples depends mainly on whether the range of variation of chemical and physical properties of the unknown samples is represented in the calibration samples. Universal of the equations developed for large and infinite populations used for a wide range of samples. The importance of the universal equation of increasing the value of NIRS for the study of ecosystem processes on a large scale.